Note: This is the 2017–2018 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
Overview
Business : This course provides a comprehensive practical introduction to fundamental statistical concepts of common distributions, statistical methods, and data analysis using Python and other software packages. Develop the ability to apply appropriate statistical methods to summarize and analyze data; report and interpret results. Focus is placed on data description, descriptive statistics, probability, random variables, binomial, poisson, normal distributions, sampling distribution of the mean, estimation, hypothesis testing, analysis of variance, tests of goodness of fit, regression, non-parametric statistics.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Prerequisite: Strong quantitative background Proficiency in Excel, Access or other data analysis tools Essential programming skills, preferably in Python.
1. 30 hours class plus at least 10 hours of assignments/readings.
